Aaron Sweeney

14 papers receiving 225 citations

Peers

Aaron Sweeney
Comparison fields: 5 of 68
  • Structural Biology 23
  • Neurology 35
  • Cellular and Molecular Neuroscience 42
  • Molecular Biology 106
  • Cell Biology 21
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Melissa Huang United Kingdom
Evgeniia Lobanova United Kingdom
Claire Leurent United States
Grace I. Hallinan United States
Yufeng Hou Norway
Lorena Marín-Buera Spain
Adam Wenborn United Kingdom
Luca Biasetti United Kingdom
Mihai Alevra Germany
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Sweeney

Since Specialization
Citations

This map shows the geographic impact of Aaron Sweeney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aaron Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Sweeney more than expected).

Fields of papers citing papers by Aaron Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron Sweeney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aaron Sweeney. The network helps show where Aaron Sweeney may publish in the future.

Co-authors

The 25 scholars most cited alongside Aaron Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aaron Sweeney Line = papers co-authored together Aaron Sweeney links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201844
2 202339
3 201639
4 202024
5 202023
6 201216
7 201910
8 20239
9 20228
10 20227
11 20174
12 20203
13 20132
14
How much alcohol should we infuse in the coronary artery of hypertrophic cardiomyopathy patients?
20101
15 20230
16 20210

About Aaron Sweeney

Aaron Sweeney is a scholar working on Molecular Biology, Structural Biology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surfaces, Coatings and Films, having authored 16 papers that have together received 229 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Protein Structure and Dynamics (3 papers), Advanced MRI Techniques and Applications (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Enzyme Structure and Function (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Structural Biology (23 citations), Neurology (35 citations), Cellular and Molecular Neuroscience (42 citations), Molecular Biology (106 citations) and Cell Biology (21 citations). Aaron Sweeney has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Maya Topf, Martin W. Nicholson, Sabina Alam, Tristan Cragnolini, Afia B. Ali, Jasmina N. Jovanovic, Michael R. Duchen, Alejandro Peña, Julia Locke and Carolyn A. Moores. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Medicinal Chemistry, Acta Crystallographica Section D Structural Biology, International journal of cardiac imaging and Wiley Interdisciplinary Reviews Computational Molecular Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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